Professional-grade 2U mounting solution for the ASUS Ascent GX10 Grace Blackwell AI Workstation.
Transform your ASUS Ascent GXHD (150×150×51mm) from a standalone unit into a standardized, rack-mountable component. Engineered specifically for the high-thermal demands of 240W sustained AI workloads, this mount is designed for seamless integration into 10-inch rack environments, edge computing clusters, and research lab infrastructures.
🌡️ Advanced Thermal Management
High-density AI inference generates significant heat. This mount is engineered to prevent thermal throttling through:
Open-Frame Architecture: A minimalist, high-airflow design that maximizes ambient air circulation around the GX1 240W module.
Ventilated Floor Geometry: Integrated slotted channels provide structural rigidity without obstructing the GX10’s primary thermal exchange surfaces.
Industrial-Grade Construction: Manufactured from 100% solid ABS thermoplastic. Unlike PLA-based mounts, this production-grade ABS is rated for temperatures up to +85°C, ensuring zero warping or structural degradation during 24/7 intensive inference cycles.
🔌 Precision Cable & Cluster Management
Hex-Pattern Cable Anchors: The rear-mounted lip features precision-engineered hex apertures. These allow for clean routing of 240W USB-C power delivery cables and secure anchoring of high-bandwidth interconnects (HDMI, 10GbE, and QSFP clustering cables) via cable ties.
Strain Relief & Port Protection: The integrated rear positioning lip prevents over-insertion, ensuring exact seating and protecting sensitive ports from mechanical strain during servicing.
Optimized for 10" Racks: Specifically dimensioned for 254mm internal width (10-inch standard), making it the ideal choice for Project MINI RACK, edge AI deployments, and compact homelab environments.
📐 Technical Specifications
Compatibility: ASUS Ascent GX10 (Grace Blackwell)
Form Factor: 2U (88.9mm Height)
Rack Standard: 10-inch (254mm Width)
Footprint Depth: 175mm
Material: 100% Solid ABS (Matte Black)
Port Accessibility: Full access to 2× QSFP (200GbE), 4× USB-C, HDMI 2.1, and 10GbE.
🤖 Deployment Use Cases
Local LLM Inference: Optimized for Llama, DeepSeek, and Qwen model deployment.
High-Bandwidth Clustering: RDMA-ready for 200GbE dual-unit configurations.
Edge AI: Scalable deployment for robotics, manufacturing, and retail automation.
Research & Homelab: Professional infrastructure for Proxmox, TrueNAS, and Kubernetes clusters.